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Overview
Why choose this programme
The staff in the Mathematics programme at the University of Surrey are leaders in their fields, and they offer support for innovative research in a lively, inspiring and intellectually stimulating environment. Our research cuts a broad swathe through both pure and applied areas of mathematics, and we’re unique in the strong emphasis we place on research at the interface between pure and applied mathematics.
As well as developing cutting-edge mathematics, our research also involves innovative applications in areas such as data analytics, wave energy, drug development, ecology, biological systems, theoretical physics, climate change and meteorology, crime forecasting and prevention, and machine learning.
We work closely with other academics, industries and research groups, ranging from internal collaborations with the Surrey Sleep Centre, the 5G/6G Innovation Centre and the School of Veterinary Medicine, to partnerships with other institutions from around the globe. Our national and international collaborators include Harvard, Princeton, MIT, Oxford, Cambridge, Imperial and the ETH Zurich, plus leading businesses, such as AstraZenica and Offshore Wave Energy Limited, and government agencies, such as the Animal and Plant Health Agency, the MET Office and Surrey Police.
We’re part of the MAGIC network, which provides a large selection of PhD courses in pure and applied mathematics, so you’ll be able to explore these fields during your time with us. We’re also a host department for the SCENARIO NERC Doctoral Training Partnership.
We also have a joint Mathematics PhD course in partnership with the University of Milano-Bicocca in Italy.
Programme Structure
Research themes- Epidemiology and ecology
- Mathematical criminology
- Cellular systems and quantitative systems pharmacology
- Data science and statistical analysis
- Sleep and circadian rhythms
- Dynamical systems
Key information
Duration
- Full-time
- 48 months
- Part-time
- 96 months
Start dates & application deadlines
- Starting
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Language
English
IELTS 6.5
PTE Academic 58
TOEFL® IBT 88
Delivered
On Campus
Disciplines
Mathematics Applied Mathematics Machine Learning View 12 other PhDs in Machine Learning in United KingdomAcademic requirements
GPA Upper Second Class
English requirements
IELTS 6.5
PTE Academic 58
TOEFL® IBT 88
Other requirements
General requirements
- Applicants are expected to hold a good first class degree in an MMath, MPhys or MSc qualification, or a first class honours degree in mathematics, physical sciences or engineering.
- IELTS Academic: 6.5 or above (or equivalent) with 6.0 in each individual category.
Tuition Fee
To alway see correct tuition fees
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International
19900 GBP/yearTuition FeeBased on the tuition of 19900 GBP per year during 48 months. -
National
4500 GBP/yearTuition FeeBased on the tuition of 4500 GBP per year during 48 months.
Part time:
- UK: £2,250
- Overseas: £10,000
Living costs for Guildford
660 - 1140 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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